How to Build an Ensemble Of Machine Learning Algorithms in R
Last Updated on August 22, 2019
Ensembles can give you a boost in accuracy on your dataset.
In this post you will discover how you can create three of the most powerful types of ensembles in R.
This case study will step you through Boosting, Bagging and Stacking and show you how you can continue to ratchet up the accuracy of the models on your own datasets.
Kick-start your project with my new book Machine Learning Mastery With R, including step-by-step tutorials and the R source code files for all examples.
Let’s get started.
Build an Ensemble Of Machine Learning Algorithms in R
Photo by Barbara Hobbs, some rights reserved.
Increase The Accuracy Of Your Models
It can take time to find well performing machine learning algorithms for your dataset. This is because of the trial and error nature of applied machine learning.
Once you have a shortlist of accurate models, you can use algorithm tuning to get the most from each algorithm.
Another approach that you
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